Yuna Lee is a proficient software engineer with extensive experience in machine learning and data science. Yuna's career began as a Machine Learning Research Intern at USC Viterbi School of Engineering, focusing on the evaluation of noisily labeled data for convolutional neural networks and implementing statistical models using Torch/PyTorch/TensorFlow. Yuna also served as a Course Producer for CSCI 270, teaching algorithm design techniques. Subsequently, Yuna worked as a Data Science Intern at Hulu before taking on the role of Software Engineer II at Google, where contributions included work on Conversion Lift. Yuna is currently a Software Engineer III at Google, driving sustainability initiatives and conducting geo-based experimentation to measure the impact of ad spend changes. Yuna holds both a Bachelor of Science and a Master of Science in Computer Science from the University of Southern California.
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